Lead Platform Engineer, Data Platform in Bangalore, भारत

Responsibilities

• Define and drive the strategy, roadmap, and architecture for Dyson’s enterprise data platforms.
• Design, build, and operate scalable data platform services for analytics, reporting, AI, and machine learning workloads.
• Implement cloud-native data platform solutions across GCP and AWS where required.
• Establish platform standards, governance frameworks, security controls, and operational best practices.
• Build and manage services for data ingestion, transformation, orchestration, storage, and consumption.
• Enable self-service data capabilities for data engineers, analysts, and data scientists.
• Ensure platform availability, performance, security, compliance, and cost efficiency.
• Drive automation through Infrastructure as Code, platform engineering, and operational tooling.
• Lead platform modernization and emerging technology adoption across analytics and AI.
• Mentor engineers and develop technical capabilities within the team.
• Manage platform lifecycle, operational support, incident management, and continuous improvement.
• Drive FinOps and platform optimization initiatives.

Requirements

• Degree in Computer Science, Software Engineering, Information Technology, Data Engineering, or a related discipline.
• Significant experience building and operating enterprise-scale data platforms.
• Strong understanding of modern data architecture, data engineering, and analytics ecosystems.
• Experience with cloud-native data platforms and services in Google Cloud Platform, AWS, or Azure.
• Experience with data warehousing, data lakes, lakehouse architectures, and large-scale data processing.
• Strong understanding of data governance, security, privacy, and compliance requirements.
• Experience with data orchestration, automation, platform engineering, Infrastructure as Code, CI/CD, and cloud automation frameworks.
• Experience supporting analytics, business intelligence, AI, and machine learning workloads.
• Strong stakeholder management, communication, technical leadership, and problem-solving skills.
• Desirable experience with BigQuery, Databricks, Snowflake, real-time data streaming, event-driven architectures, data catalogs, metadata management, data governance solutions, enterprise AI and machine learning platforms, cloud certifications, and multi-cloud environments.